[Skolkovo Robotics V] Autonomous driving: context and technical challenges of...Skolkovo Robotics Center
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This document provides an overview of autonomous driving including:
1) The context of autonomous driving as an industry revolution with growing interest and a compliant technical roadmap.
2) The remaining challenges including technologies still needing industrialization, legal challenges around responsibilities, and technical challenges transferring research to industry.
3) An outline of the market opportunities in both hardware/ADAS in the short term and autonomous systems in the long term.
This document discusses facial expression recognition and the challenges that remain. It provides an overview of the current state-of-the-art techniques for facial expression recognition, which still struggle with accuracy when tested on naturalistic data rather than posed images. The document outlines a proposed pipeline for facial expression recognition that combines deep learning techniques for feature fusion and representation learning to help address these challenges and improve recognition accuracy on real-world data. Samples of datasets used for training and evaluating facial expression recognition systems are also presented.
The document discusses how artificial intelligence could transform stroke treatment by 2025, with a scenario where a 95-year-old man suffers a stroke at home and various AI technologies help in his treatment and recovery. These include detecting his fall, analyzing speech to dispatch an ambulance, an autonomous ambulance using patient telemetry, an AI-assisted MRI and CT scan to quickly diagnose an ischemic stroke, a nanorobot eliminating the clot to replace thrombectomy, and the patient being discharged the next day. The document also discusses Philips' work in areas like population health, precision medicine, acute care, and challenges of AI in healthcare like access to data, clinical context, and explaining AI decisions to patients.
This document discusses the prospects and limits of using remotely piloted aircraft systems (RPAS), also known as drones, in the German and European markets. It outlines some of the key applications of drones such as in agriculture, land surveying, security, and infrastructure inspections. However, the progress of the drone market is hindered by legal issues due to differing regulations between countries and states, technical challenges related to integrating drone data into business processes, and a lack of research programs and standardization. The document calls for more harmonization of laws and the development of standards to help drones become useful tools that can enable an emerging commercial market.
VCs expect AI startups to focus on developing AI as a product to solve real-world problems, rather than focusing only on the complex technology. They also expect startups to have a clear strategy for acquiring high-quality data, as access to data is often more important than algorithmic advances alone. Rapid growth is important, but startups need to prioritize developing solutions for specific markets and having the right product over raw technology or speed of growth.
The document provides an overview of robotics in Korea, including:
1. It outlines Korea's history with robots beginning in 1978 with the introduction of the first robot. Major developments include localization of robot manufacturing, development of service robots, and establishment of governmental master plans for intelligent robots.
2. The 2nd Master Plan for Intelligent Robots (2014-2018) allocated over $500 million for projects like smart factories, service robots, and humanoid robot research.
3. Major robotics research centers and organizations in Korea are described, including the Medical Microrobot Center, HuboLab, and KIRIA. The Korea Association of Robot Industry (KAR) promotes the robotics industry
[Skolkovo Robotics V] Collaborative Robots: Research, Technologies and Applic...Skolkovo Robotics Center
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Collaborative robots allow humans and robots to work together in a shared workspace. They are designed to be safe through features like lightweight materials, sensitive sensors to detect contact, and safety-rated control schemes. Regulations like the ISO 10218 and ISO/TS 15066 standards define requirements for speed and separation monitoring as well as power and force limiting to ensure collaborative robots can safely interact with humans. Current applications are mostly in traditional factory settings for tasks like machine tending, assembly, and quality inspection, but research continues in areas like full-body compliance, grasping, and human-aware planning to expand collaborative robot capabilities.
International Federation of Robotics, Gudrun Litzenberger
General Secretary
International Federation of Robotics IFR Germany
Email: gl@ifr.org
https://ifr.org/